Text Analysis of the Social Capital Literature Network ... - INSNA
Text Analysis of the Social Capital Literature Network ... - INSNA
Text Analysis of the Social Capital Literature Network ... - INSNA
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
38 Building a Theory <strong>of</strong> <strong>Social</strong> <strong>Capital</strong> / Lin<br />
Ano<strong>the</strong>r prevailing measurement strategy focuses on network locations as measurements <strong>of</strong><br />
social capital . A major perspective is <strong>the</strong> argument that bridges or access to bridges facilitates<br />
returns in actions . Granovetter's notion <strong>of</strong> bridges as expressed in <strong>the</strong> strength <strong>of</strong> weak ties<br />
(1973) was a preview <strong>of</strong> this argument, which is elaborated and formalized by Burt in his<br />
notions <strong>of</strong> structural holes and constraints (1992) . O<strong>the</strong>r measures <strong>of</strong> bridges (e .g ., betweenness)<br />
would also be candidates for social capital, even though <strong>the</strong>y are used less in <strong>the</strong> social capital<br />
context .<br />
There are many o<strong>the</strong>r measures such as size, density, cohesion, and closeness <strong>of</strong> social networks<br />
which are candidates as measures for social capital . However, research evidence is much less<br />
clear as to <strong>the</strong>ir viability in a social capital <strong>the</strong>ory . Unless clear <strong>the</strong>oretical arguments are<br />
presented along with <strong>the</strong> use <strong>of</strong> any specific measures, as both measures <strong>of</strong> social resources and<br />
network locations have been, it would be ill-advised to simply use any network measure as an<br />
indicator <strong>of</strong> social capital .<br />
Sampling Techniques<br />
Three sampling techniques have been employed to construct measures <strong>of</strong> social capital, as can<br />
be seen in Table 4 . The saturation sampling technique is useful when it is possible to map a<br />
definable social network . In such networks, data from all nodes are ga<strong>the</strong>red and <strong>the</strong>ir<br />
relationships identified, and measurements <strong>of</strong> network locations can be developed . The<br />
advantage <strong>of</strong> this technique is that it allows detailed and complete analyses <strong>of</strong> each and every<br />
network location as well as embedded resources in each node . Because <strong>of</strong> <strong>the</strong> requirement that<br />
<strong>the</strong> network has a defined and manageable boundary, it is a technique most useful for studies<br />
<strong>of</strong> social capital within an organization or a small network among organizations .<br />
Table 4 . Measurement Techniques<br />
Technique Advantages Disadvantages<br />
Saturation<br />
survey<br />
Name generator<br />
Position<br />
I generator<br />
Complete mapping <strong>of</strong> network<br />
Customized content areas<br />
Ego-centered network mapping<br />
Content-free<br />
Sampling <strong>of</strong> hierarchical positions<br />
Multiple "resources" mapped<br />
Direct and indirect accesses<br />
Limited to small networks<br />
Lack <strong>of</strong> sampling frame<br />
Biased toward strong ties<br />
Lack <strong>of</strong> specificity <strong>of</strong><br />
relations<br />
For larger and less definable networks, ego-network sampling techniques are used . Typically,<br />
<strong>the</strong> name-generator technique (Laumann, 1966 ; Wellman, 1979 ; McCallister & Fischer, 1978 ;<br />
Burt, 1984; Marsden, 1987) is employed. This measurement technique elicits a list <strong>of</strong> ties from<br />
ego, and <strong>the</strong> relationships between <strong>the</strong>m as well as among <strong>the</strong>m are identified . From <strong>the</strong>se data,<br />
locations <strong>of</strong> ego as well as <strong>the</strong>se ties, relative to one ano<strong>the</strong>r, can be computed . <strong>Network</strong><br />
resources can also be obtained from <strong>the</strong> name-generator technique . Measures such as<br />
composition (typical resource characteristics), heterogeneity (diversity <strong>of</strong> resources), and upper<br />
reachability (best possible resources) can be computed . The advantages <strong>of</strong> this approach<br />
include (1) <strong>the</strong> identification <strong>of</strong> specific content areas, relative to actions under investigations,